نتایج جستجو برای: integral absolute error

تعداد نتایج: 441236  

2008
Hang-Hong Kuo Chang-Kuo Chen Jun-Juh Yan Teh-Lu Liao

In this paper, a genetic algorithm-based (GA-based) proportional-integral-derivative (PID) controller as an active queue manager for Internet routers is proposed to reduce packet loss and improve network utilization in TCP/IP networks. Based on the window-based nonlinear dynamics, the TCP network was modeled as a time-delayed system with a saturated input due to the limitations of packet-droppi...

Journal: :Kybernetika 2006
Andrzej Bartoszewicz Aleksandra Nowacka-Leverton

In this paper the design of a time varying switching plane for the sliding mode control of the third order system subject to the velocity and acceleration constraints is considered. Initially the plane passes through the system representative point in the error state space and then it moves with a constant velocity to the origin of the space. Having reached the origin the plane stops and remain...

2012
MOHD S. SAAD HISHAMUDDIN JAMALUDDIN INTAN Z. M. DARUS

This paper presents the implementation of PID controller tuning using two sets of evolutionary techniques which are differential evolution (DE) and genetic algorithm (GA). The optimal PID control parameters are applied for a high order system, system with time delay and non-minimum phase system. The performance of the two techniques is evaluated by setting its objective function with mean squar...

1998
Tianzi Jiang

This paper deals with the complexity of the Fredholm equation Lu = f of the second kind with f 2 W r;p ((). The problem elements are free term f and belong to the unit ball of W r;p ((). Available information about the problem consists of evaluations of f and is assumed to be corrupted by uniformly bounded noise. The absolute error in each noisy evaluation is at most. First, we give estimation ...

Journal: :Journal of the European Optical Society-Rapid Publications 2017

Journal: :Journal of Computer and System Sciences 2022

Non-active adaptive sampling is a way of building machine learning models from training data base which are supposed to dynamically and automatically derive guaranteed sample size. In this context regardless the strategy used in both scheduling generating weak predictors, proposal for calculating absolute convergence error thresholds described. We not only make it possible establish when qualit...

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